Deutsche Bank
Financial Services
AI/MLProductEngineer,VP
“AI/ML Product Engineer, VP at Deutsche Bank. Skills: AI/ML, GCP, MLOps, Platform Engineering. Design AI/ML capabilities. Develop AI/ML capabilities”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Experience in ML model lifecycle, Knowledge of GenAI, ML techniques, Experience with Vertex AI, APIs, BigQuery ML, Python, TensorFlow/PyTorch, CI/CD, Terraform, Grasp of API design, system integration, Familiar with ethical AI, model explainability, Proficiency in scripting (Python, Bash), Proficiency in Infrastructure as Code (Terraform, CloudFormation), Knowledge of DevOps practices, CI/CD tools, Knowledge of GitOps workflows
Nice to Have
Google Cloud certifications
What You'll Do.
Design AI/ML capabilities
Develop AI/ML capabilities
Operationalize AI/ML capabilities
Enable standardized access to GCP AI/ML services
Build reusable ML pipelines
Build reusable ML patterns
Build reusable ML accelerators
Support integration of models
Ensure compliance with frameworks
Define guardrails for model usage
Enable controlled model onboarding
Enable controlled model validation
Enable controlled model lifecycle tracking
Translate business use cases
Recommend suitable GCP services
Recommend suitable models
Recommend suitable architectures
Support teams in accelerating AI/ML adoption
Implement MLOps practices
Build CI/CD pipelines for ML workflows
Integrate ML pipelines with platform services
Provide technical leadership
Drive standardization
Contribute to AI/ML roadmap
How You'll Work.
Team & Collaboration
Engineering teams; Cross-functional teams
Process & Methodology
Roadmap planning
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